Latest improvement uses machine learning for monitoring.
BRISTOL, U.K., 24 October 2019 – As part of our ongoing commitment to the further development and improvement of WindGEMINI, we have deployed a new version of our Drivetrain Condition Monitor. This latest improvement uses machine learning to monitor the temperature deviation of drivetrain components over time. Alerts are raised for both prolonged and extreme forms of deviation, and prioritised based on severity making it easier and more efficient, to prioritise O&M activities effectively.
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About DNV GL
DNV GL is a global quality assurance and risk management company. Driven by our purpose of safeguarding life, property and the environment, we enable our customers to advance the safety and sustainability of their business. We provide classification, technical assurance, software and independent expert advisory services to the maritime, oil & gas, power and renewables industries. We also provide certification, supply chain and data management services to customers across a wide range of industries. Operating in more than 100 countries, our experts are dedicated to helping customers make the world safer, smarter and greener.
DNV GL delivers world-renowned testing, certification and advisory services to the energy value chain including renewables and energy management. Our expertise spans onshore and offshore wind power, solar, conventional generation, transmission and distribution, smart grids, and sustainable energy use, as well as energy markets and regulations. Our experts support customers around the globe in delivering a safe, reliable, efficient, and sustainable energy supply.
Learn more at www.dnvgl.com/power-renewables